Search

A New approximation of annuity prices for age period cohort models

<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.loc.gov/MARC21/slim http://www.loc.gov/standards/marcxml/schema/MARC21slim.xsd">
  <record>
    <leader>00000cab a2200000   4500</leader>
    <controlfield tag="001">MAP20240016746</controlfield>
    <controlfield tag="003">MAP</controlfield>
    <controlfield tag="005">20241018124704.0</controlfield>
    <controlfield tag="008">241016e20241508che|||p      |0|||b|eng d</controlfield>
    <datafield tag="040" ind1=" " ind2=" ">
      <subfield code="a">MAP</subfield>
      <subfield code="b">spa</subfield>
      <subfield code="d">MAP</subfield>
    </datafield>
    <datafield tag="084" ind1=" " ind2=" ">
      <subfield code="a">6</subfield>
    </datafield>
    <datafield tag="100" ind1=" " ind2=" ">
      <subfield code="0">MAPA20190008310</subfield>
      <subfield code="a">Bégin, Jean-François</subfield>
    </datafield>
    <datafield tag="245" ind1="1" ind2="2">
      <subfield code="a">A New approximation of annuity prices for age period cohort models</subfield>
      <subfield code="c">Jean-François Bégin, Nikhil Kapoor & Bárbara Sanders </subfield>
    </datafield>
    <datafield tag="300" ind1=" " ind2=" ">
      <subfield code="a">697 - 703 p.</subfield>
    </datafield>
    <datafield tag="500" ind1=" " ind2=" ">
      <subfield code="a">A Publisher Correction to this article was published </subfield>
    </datafield>
    <datafield tag="520" ind1=" " ind2=" ">
      <subfield code="a">This letter presents a new general formula for estimating annuity prices within a wide range of stochastic mortality models. The formula is constructed using two building blocks: an approximation technique based on the WentzelKramersBrillouin method for calculating the sum of correlated lognormal random variables, and an approximate expression for the moment generating function of the lognormal distribution. Notably, this formula is applicable to virtually all ageperiodcohort models where period effects are represented by vector autoregressive models. This broad assumption encompasses the majority of existing stochastic mortality models in literature. Through a numerical illustration, we also demonstrate the reliability and precision of our new method in determining annuity prices</subfield>
    </datafield>
    <datafield tag="650" ind1=" " ind2="4">
      <subfield code="0">MAPA20080573614</subfield>
      <subfield code="a">Renta vitalicia</subfield>
    </datafield>
    <datafield tag="650" ind1=" " ind2="4">
      <subfield code="0">MAPA20080579258</subfield>
      <subfield code="a">Cálculo actuarial</subfield>
    </datafield>
    <datafield tag="650" ind1=" " ind2="4">
      <subfield code="0">MAPA20080555306</subfield>
      <subfield code="a">Mortalidad</subfield>
    </datafield>
    <datafield tag="650" ind1=" " ind2="4">
      <subfield code="0">MAPA20080555016</subfield>
      <subfield code="a">Longevidad</subfield>
    </datafield>
    <datafield tag="700" ind1="1" ind2=" ">
      <subfield code="0">MAPA20240022181</subfield>
      <subfield code="a">Kapoor, Nikhil </subfield>
    </datafield>
    <datafield tag="700" ind1="1" ind2=" ">
      <subfield code="0">MAPA20240022198</subfield>
      <subfield code="a">Sanders, Barbara </subfield>
    </datafield>
    <datafield tag="773" ind1="0" ind2=" ">
      <subfield code="w">MAP20220007085</subfield>
      <subfield code="g">15/08/2024 Volumen 14 - Número 2 - agosto 2024 </subfield>
      <subfield code="t">European Actuarial Journal</subfield>
      <subfield code="d">Cham, Switzerland  : Springer Nature Switzerland AG,  2021-2022</subfield>
    </datafield>
    <datafield tag="787" ind1="0" ind2=" ">
      <subfield code="w">MAP20240016739</subfield>
      <subfield code="a">Bégin, Jean-François</subfield>
      <subfield code="t"> A New approximation of annuity prices for ageperiodcohort models</subfield>
    </datafield>
  </record>
</collection>